librarian-bot commited on
Commit
dd935e8
1 Parent(s): c32490f

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`facebook/deit-tiny-patch16-224`](https://huggingface.co/facebook/deit-tiny-patch16-224) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!

Files changed (1) hide show
  1. README.md +4 -3
README.md CHANGED
@@ -6,20 +6,21 @@ datasets:
6
  - image_folder
7
  metrics:
8
  - f1
 
9
  model-index:
10
  - name: test
11
  results:
12
  - task:
13
- name: Image Classification
14
  type: image-classification
 
15
  dataset:
16
  name: image_folder
17
  type: image_folder
18
  args: default
19
  metrics:
20
- - name: F1
21
- type: f1
22
  value: 0.12404601272248332
 
23
  ---
24
 
25
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
6
  - image_folder
7
  metrics:
8
  - f1
9
+ base_model: facebook/deit-tiny-patch16-224
10
  model-index:
11
  - name: test
12
  results:
13
  - task:
 
14
  type: image-classification
15
+ name: Image Classification
16
  dataset:
17
  name: image_folder
18
  type: image_folder
19
  args: default
20
  metrics:
21
+ - type: f1
 
22
  value: 0.12404601272248332
23
+ name: F1
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You